yoyo-nb/Thin-Plate-Spline-Motion-Model

Health v2 · maintenance only

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3604 stars · 555 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The official PyTorch implementation of the CVPR 2022 paper 'Thin-Plate Spline Motion Model for Image Animation'. It animates a source image using motion from a driving video, supporting face reenactment, talking-head generation, and pose transfer with pre-trained models.

Use cases

• animate a photo using motion from a driving video
• generate talking-head videos from a single face image
• perform face reenactment
• transfer pose from one video to a source image
• train an image animation model on a custom dataset

When to choose

• you need state-of-the-art thin-plate spline based image animation
• you want pre-trained models for face animation or motion transfer
• you want a research baseline for image animation papers

When to avoid

• you need a production-ready, actively maintained tool
• you want a simple no-code solution without GPU setup
• your task is unrelated to image/video animation

Facets

library · maturity maintenance

machine-learning deep-learning image-processing video-processing computer-vision deep-learning image-processing python face-reenactment motion-transfer talking-head image-animation deepfake cvpr-2022 pose-transfer video gpu linux

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